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Testing for Cubic Smoothing Splines under Dependent Data

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  • Tapio Nummi
  • Jianxin Pan
  • Tarja Siren
  • Kun Liu

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  • Tapio Nummi & Jianxin Pan & Tarja Siren & Kun Liu, 2011. "Testing for Cubic Smoothing Splines under Dependent Data," Biometrics, The International Biometric Society, vol. 67(3), pages 871-875, September.
    • Handle: RePEc:bla:biomet:v:67:y:2011:i:3:p:871-875
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2010.01537.x
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    References listed on IDEAS

    as
    1. Yuedong Wang, 1998. "Mixed effects smoothing spline analysis of variance," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 60(1), pages 159-174.
    2. Simon N. Wood, 2003. "Thin plate regression splines," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(1), pages 95-114, February.
    3. Tapio Nummi & Jyrki Möttönen, 2004. "Estimation and prediction for low degree polynomial models under measurement errors with an application to forest harvesters," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 53(3), pages 495-505, August.
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    Cited by:

    1. Jeremy E. Reynolds, 2014. "Prevailing Preferences," ILR Review, Cornell University, ILR School, vol. 67(3), pages 1017-1041, July.
    2. Nathaniel E. Helwig, 2022. "Robust Permutation Tests for Penalized Splines," Stats, MDPI, vol. 5(3), pages 1-18, September.

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